How to use latin hypercube sampling? Neural network optimization help?
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I have been running simulations for the past few days. It is about a drill simulation, and by changing speed and feed I calculated the material removal rate (MRR) and got the nodal temperatures (NT). My aim is to make a multiobjective optimization where maximizing MRR and minimizing NT depending on the feed and speed. How would i do this in MATLAB? I attached the data if that helps understanding my question.
Thank you in advance!
Naman Chaturvedi on 2 Jan 2019
Since your simulation is quite time consuming and you are considering sampling methods as well, I would suggest an approach like Surrogate Modelling for your work.
The following link might help you:
You can also find some third party toolboxes/codes related to multi-objective surrogate model optimization methods using MATLAB for a use case similar to yours.
Hope this helps!